IDiyas

For the Inventor, By the Inventor

Nesher, Israel

Gilad Ezov

USPTO Granted Patents = 12 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal12 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2021-2025

where 'Filed Patents' based on already Granted Patents

12 patents (USPTO):
1. 12425183 - Reducing homomorphic encryption rotations when reshaping a ciphertext (2025-09-23),
2. 12388618 - Reshaping data structures for homomorphic computations using multiplication by identity elements (2025-08-12),
3. 12289393 - Tournament type selection operations on encrypted data (2025-04-29),
4. 12141706 - Data generalization for predictive models (2024-11-12),
5. 11947444 - Sharing insights between pre and post deployment to enhance cloud workload security (2024-04-02),
6. 11882206 - Efficient convolution in an environment that enforces tiles (2024-01-23),
7. 11856083 - Analysis and debugging of fully-homomorphic encryption (2023-12-26),
8. 11841982 - Partitioning circuits for execution of sequential secure computation code on multiple processors (2023-12-12),
9. 11841977 - Training anonymized machine learning models via generalized data generated using received trained machine learning models (2023-12-12),
10. 11477007 - Packing arbitrary tensors into tiles with descriptive shapes (2022-10-18),
11. 11281728 - Data generalization for predictive models (2022-03-22),
12. 11182491 - Data protection using functional encryption (2021-11-23),

Title: Gilad Ezov: Innovator in Homomorphic Encryption

Introduction

Gilad Ezov is a prominent inventor based in Nesher, Israel, known for his significant contributions to the field of homomorphic encryption. With a total of 12 patents to his name, Ezov has made remarkable strides in enhancing the efficiency and functionality of encrypted data processing.

Latest Patents

Ezov's latest patents focus on reducing homomorphic encryption rotations when reshaping ciphertexts. His innovative approach involves receiving a source tensor of homomorphic encryption ciphertexts and mapping elements to a target tensor. By computing a vector of required rotations and generating lists of rotations, he effectively reduces the number of unique rotations needed. This process culminates in the generation of a rotated ciphertext that is summed to produce the target tensor.

Another notable patent addresses reshaping data structures for homomorphic computations using multiplication by identity elements. In this system, a processor receives an encrypted packed plaintext and identifies a target shape for the data structure. The reshape is executed efficiently, allowing for homomorphic computations to be performed on the reshaped data structure.

Career Highlights

Ezov is currently employed at International Business Machines Corporation (IBM), where he continues to push the boundaries of encryption technology. His work has garnered attention for its potential applications in secure data processing and privacy-preserving computations.

Collaborations

Ezov collaborates with talented individuals such as Omri Soceanu and Ehud Aharoni, contributing to a dynamic environment of innovation and research.

Conclusion

Gilad Ezov's contributions to homomorphic encryption exemplify the intersection of technology and security. His patents not only advance the field but also pave the way for future innovations in encrypted data processing.

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